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Algorithmic Final Code Segments
OOP Factorial
# Sets class
class factorial:
def __init__(self):
self.factorial = []
# Def for self + n
def __call__(self,n):
if n == 1 or n == 0:
self.print()
return 1
else:
self.factorial.append(n)
return n * self(n-1)
# After calling istelf it prints algorithm result
def print(self):
print("="*30, "\nSequence of Numbers: \n", *self.factorial)
def run_factorial():
# First test
n = 12
facto = factorial()
result = facto(n)
print("="*30, "\nThe factorial of", n, "is", result)
# Second test
n = 15
facto = factorial()
result = facto(n)
print("="*30, "\nThe factorial of", n, "is", result)
OOP LCM
# no init like the factorial because of no defined properties
class leastcm:
def __call__(self, a, b):
if (a > b):
maximum = a
else:
maximum = b
while (True):
if (maximum % a == 0 and maximum % b == 0):
break
maximum = maximum + 1
return maximum
def lcm_run():
#first test
a = 3
b = 5
lcm = leastcm()
result = lcm(a,b)
print("="*60, "\nThe LCM of", a, "and", b, "is", result)
#second test
a = 50
b = 100
result = lcm(a,b)
print("="*60, "\nThe LCM of", a, "and", b, "is", result)
#third test
a = 5
b = 7
result = lcm(a,b)
print("="*60, "\nThe LCM of", a, "and", b, "is", result)
Factorial
def fact(b):
a = 1
for i in range(1,b+1):
a = a * i
return a
b = 5
number = fact(b)
print("="*30)
print("The Factorial Of 5 Is: ", number)
print("="*30)
Week 1
Python Lists Vs Dictionaries
- List is a collection of index values pairs as that of array in JS. Dictionary is a hashed structure of key and value pairs.
InfoDB Lists
infoDb = []
# List with dictionary records placed in a list
infoDb.append({
"FirstName": "Siya",
"LastName": "Dixit",
"DOB": "July 30",
"Location": "San Diego",
"Personal Email": "dsiya006@gmail.com",
"Fav_Colors":["Pink","Blue","Lavender"]
})
Print the second car from Mort’s Owns_Cars list
x = InfoDb[0]["Fav_Colors"][1]
result: Blue
There is also a method called get() on the Dictionary(InfoDb[0]) that will give you the same result:
x = InfoDb[0].get("Fav_Colors")[2]
result: Lavender
Print Content from InfoDB
# given an index this will print InfoDb content
def print_data(n):
print(InfoDb[n]["FirstName"], InfoDb[n]["LastName"]) # using comma puts space between values
print("\t", "Colors: ", end="") # \t is a tab indent, end="" make sure no return occurs
print(", ".join(InfoDb[n]["Fav_Colors"])) # join allows printing a string list with separator
print()
def tester():
print("For loop")
for_loop()
print("While loop")
while_loop(0) # requires initial index to start while
print("Recursive loop")
recursive_loop(0) # requires initial index to start recursion
While Loop
# while loop contains an initial n and an index incrementing statement (n += 1)
def while_loop(n):
while n < len(InfoDb):
print_data(n)
n += 1
return
For Loop
# for loop iterates on length of InfoDb
def for_loop():
for n in range(len(InfoDb)):
print_data(n)
Tri 3 TT0 Python Menu, Replit, Github
Python Menu w/ data structures and try/except statements
# menu.py - function style menu
# Imports typically listed at top
# each import enables us to use logic that has been abstracted to other files and folders
import loopy
import mathpy
import funcy
import patterns
# Main list of [Prompts, Actions]
# Two styles are supported to execute abstracted logic
# 1. file names will be run by exec(open("filename.py").read())
# 2. function references will be executed directly file.function()
main_menu = [
["Stringy", "stringy.py"],
["Listy", "listy.py"],
["Loopy", loopy.main],
]
# Submenu list of [Prompt, Action]
# Works similarly to main_menu
sub_menu = [
["Factors", mathpy.factors],
["GCD", mathpy.gcd],
["LCM", mathpy.lcm],
["Primes", mathpy.primes],
]
patterns_sub_menu = [
["Patterns", "patterns.py"],
["PreFuncy", "prefuncy.py"],
["Funcy", funcy.ship],
]
# Menu banner is typically defined by menu owner
border = "=" * 25
banner = f"\n{border}\nPlease Select An Option\n{border}"
# def menu
# using main_menu list:
# 1. main menu and submenu reference are created [Prompts, Actions]
# 2. menu_list is sent as parameter to menuy.menu function that has logic for menu control
def menu():
title = "Function Menu" + banner
menu_list = main_menu.copy()
menu_list.append(["Math", submenu])
menu_list.append(["Patterns", patterns_submenu])
buildMenu(title, menu_list)
# def submenu
# using sub menu list above:
# sub_menu works similarly to menu()
def submenu():
title = "Function Submenu" + banner
buildMenu(title, sub_menu)
def patterns_submenu():
title = "Function Submenu" + banner
buildMenu(title, patterns_sub_menu)
def buildMenu(banner, options):
# header for menu
print(banner)
# build a dictionary from options
prompts = {0: ["Exit", None]}
for op in options:
index = len(prompts)
prompts[index] = op
# print menu or dictionary
for key, value in prompts.items():
print(key, '->', value[0])
# get user choice
choice = input("Type your choice> ")
# validate choice and run
# execute selection
# convert to number
try:
choice = int(choice)
if choice == 0:
# stop
return
try:
# try as function
action = prompts.get(choice)[1]
action()
except TypeError:
try: # try as playground style
exec(open(action).read())
except FileNotFoundError:
print(f"File not found!: {action}")
# end function try
# end prompts try
except ValueError:
# not a number error
print(f"Not a number: {choice}")
except UnboundLocalError:
# traps all other errors
print(f"Invalid choice: {choice}")
# end validation try
buildMenu(banner, options) # recursion, start menu over again
if __name__ == "__main__":
menu()